A5021736967- Data Mining Algorithms and Applications
- Rough Sets and Fuzzy Logic
- Data Management and Algorithms
- Artificial Intelligence in Healthcare
- Imbalanced Data Classification Techniques
- COVID-19 and healthcare impacts
- Anomaly Detection Techniques and Applications
- Bone and Joint Diseases
- HIV/AIDS Research and Interventions
- HIV, Drug Use, Sexual Risk
- COVID-19 epidemiological studies
- Mobile and Web Applications
- Gout, Hyperuricemia, Uric Acid
- Bone health and treatments
- Stock Market Forecasting Methods
- Head and Neck Cancer Studies
- Radiomics and Machine Learning in Medical Imaging
- Oral health in cancer treatment
- COVID-19 and Mental Health
- Blockchain Technology Applications and Security
- HIV Research and Treatment
- ICT in Developing Communities
- Medical Imaging and Analysis
- Mobile Health and mHealth Applications
- Financial Markets and Investment Strategies
Rangsit University
2015-2024
Thammasat University
2018-2022
Abstracts Background The aim of this study was to evaluate the most effective combination autoregressive integrated moving average (ARIMA), a time series model, and association rule mining (ARM) techniques identify meaningful prognostic factors predict number cases for efficient COVID-19 crisis management. Methods 3685 patients admitted at Thailand’s first university field hospital following four waves infections from March 2020 August 2021 were analyzed using its derivative exogenous...
Abstract Background Oral cancer is a deadly disease and major cause of morbidity mortality worldwide. The purpose this study was to develop fuzzy deep learning (FDL)-based model estimate the survival time based on clinicopathologic data oral cancer. Methods Electronic medical records 581 squamous cell carcinoma (OSCC) patients, treated with surgery or without radiochemotherapy, were collected retrospectively from Maxillofacial Surgery Clinic Regional Cancer Center 2011 2019. (DL) trained...
Abstract Objective A 5-year survival rate is a predictor for the assessment of oral cancer prognosis. The purpose this study to analyze data discover and rank prognostic factors associated with using association rule mining (ARM) technique. Materials Methods This retrospective analysis 897 patients from regional center between 2011 2017. was assessed. multivariable Cox proportional hazards performed determine factors. ARM applied clinicopathologic treatment modalities identify survival....
Objective interestingness measures play a vital role in association rule mining of large-scaled database because they are used for extracting, filtering, and ranking the patterns. In past, several have been proposed but their similarities or relations not sufficiently explored. This work investigates sixty-one objective on pattern A → B, to analyze similarity dissimilarity as well relationship. Three-probability patterns, P(A), P(B), P(AB), enumerated both linear exponential scales each...
This study aims to analyze the patient characteristics and factors related clinical outcomes in crisis management of COVID-19 pandemic a field hospital. We conducted retrospective analysis data from March 2020 August 2021 at first university-based hospital Thailand. Multivariable logistic regression models were used evaluate associated with discharge destination. Of total 3685 patients, 53.6% women, median age 30 years. General workers accounted for 97.5% while 2.5% healthcare workers. Most...
The World Health Organization (WHO) launched universal strategy in HIV prevention 2012 called "Test & treat prevention". (TATF) Test and Treat Follow-up is proposed to be a follow-up platform support the of carriers by integrating information technology approaches fields database, communication, mobile application. TATF consists three main modules: 1) clinical module; 2) laboratory 3) module that transfer data with each other on computer network. Clinical front office collect client medical...
This work investigates the semantic of 61 commonly used interestingness measures in order to explore their common and distinct characteristics, by means a two-way contingency table pair variables; A B. As first step, synthetic data six probability P(AB), P(AB̅), P(A̅B),P(A̅B̅), P(A̅) P(B̅) profile measurements are generated based on P(A), P(B), P(AB). The exploration will be done relationship. Secondly, an extension is characterize among measures. Thirdly, similarity dissimilarity...
Dyslipidemia leads to cardiovascular disease with several complications which include sudden cardiac death, acute myocardial infarction, and strokes. The primary evaluation tool for dyslipidemia is a fasting lipid panel consists of total cholesterol (TC), (LDL-C), (HDL-C), triglycerides (TG). However, the relationship between elevated uric acid has not been comprehensively investigated. This work investigates serum (SUA) in elderly patients Thailand. A rule-based machine learning technique...